code: def export_types() -> None:
      node = onnx.helper.make_node(
          "Pow",
          inputs=["x", "y"],
          outputs=["z"],
      )
  
      x = np.array([1, 2, 3]).astype(np.float32)
      y = np.array([4, 5, 6]).astype(np.int64)
      z = pow(x, y)  # expected output [1., 32., 729.]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_float32_int64",
      )
  
      x = np.array([1, 2, 3]).astype(np.int64)
      y = np.array([4, 5, 6]).astype(np.float32)
      z = pow(x, y)  # expected output [1, 32, 729]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_int64_float32",
      )
  
      x = np.array([1, 2, 3]).astype(np.float32)
      y = np.array([4, 5, 6]).astype(np.int32)
      z = pow(x, y)  # expected output [1., 32., 729.]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_float32_int32",
      )
  
      x = np.array([1, 2, 3]).astype(np.int32)
      y = np.array([4, 5, 6]).astype(np.float32)
      z = pow(x, y)  # expected output [1, 32, 729]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_int32_float32",
      )
  
      x = np.array([1, 2, 3]).astype(np.float32)
      y = np.array([4, 5, 6]).astype(np.uint64)
      z = pow(x, y)  # expected output [1., 32., 729.]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_float32_uint64",
      )
  
      x = np.array([1, 2, 3]).astype(np.float32)
      y = np.array([4, 5, 6]).astype(np.uint32)
      z = pow(x, y)  # expected output [1., 32., 729.]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_float32_uint32",
      )
  
      x = np.array([1, 2, 3]).astype(np.int64)
      y = np.array([4, 5, 6]).astype(np.int64)
      z = pow(x, y)  # expected output [1, 32, 729]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_int64_int64",
      )
  
      x = np.array([1, 2, 3]).astype(np.int32)
      y = np.array([4, 5, 6]).astype(np.int32)
      z = pow(x, y)  # expected output [1, 32, 729]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_pow_types_int32_int32",
      )
  
file_path: onnx/onnx/backend/test/case/node/pow.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 3 for calling the Pow obj's underlying member method code with example usage: obj.export_types() without return types